Marketing
recommendation
engine

The personalization engine.

Reach your users with increasingly relevant and effective proposals, using the automatic recommendation models, for the promotion of your products and services. The recommendation engine is based on a content filtering system that creates specific recommendations for each user, in order to help them in their choices.

How it works

The system analyses large amounts of data relating to customer habits and characteristics. By comparing them, it determines what the recurring patterns are and identifies the right product for each user at the right time. Its forecasts constantly adapt to the customer’s actions, maximizing the probability of conversion.

Choice of the Next product and probability of conversion

Improve your sales strategies automatically.

Whether it is the next product in your cart or an extra guarantee for your insurance policy, the Marketing Recommendation Engine leverages your customers’ personal and navigation data to suggest the best possible choice. It is used to automate and improve up-sell and cross-sell strategies, providing you with predictions related to the probability of conversion.

Choice of the Next product and probability of conversion

Improve your sales strategies automatically.

Whether it is the next product in your cart or an extra guarantee for your insurance policy, the Marketing Recommendation Engine leverages your customers’ personal and navigation data to suggest the best possible choice. It is used to automate and improve up-sell and cross-sell strategies, providing you with predictions related to the probability of conversion.

Market Basket
Analysis

Adopt optimal pricing schemes.

Advanced techniques for analyzing your customers’ spending habits allow you to design effective pricing and sales strategies. This solution helps you to recognize specific consumption patterns, groups of related products and facilitates the identification of optimal pricing schemes.

Clustering
dei clienti

Optimize your marketing campaigns.

This system of recommendations offers you a clear vision of the clusters of your customers’ behavior to help you better define your marketing strategies while fully respecting the privacy and specificity of each of your customers.

Clustering
dei clienti

Optimize your marketing campaigns.

This system of recommendations offers you a clear vision of the clusters of your customers’ behavior to help you better define your marketing strategies while fully respecting the privacy and specificity of each of your customers.

Case studies

Editorial marketing recommendation system

Browsing data, customer habits and characteristics flow into our system to create accurate and effective recommendation systems. Technologies based on Network theory combined with best cloud development practices make the system fast and reliable.

Optimization of the level of user profiling

Improvement of the experience of using the contents

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Cross selling for insurance products

With a broad market offer, it is crucial to target customers on the products most suitable for them, maximizing cross selling and retention. Algorithms make it possible to use the characteristics of the customer and of their purchases to maximize the probability of customer loyalty.

+ 85% cross selling accuracy

+ 75% conversion rate accuracy on prospects

+ accuracy in customer purchase forecasting

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solution

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analysis